diff --git a/DESCRIPTION b/DESCRIPTION
index f91543505..938d9eba5 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: sdmTMB
 Title: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
-Version: 0.4.1.9005
+Version: 0.4.1.9006
 Authors@R: c(
     person(c("Sean", "C."), "Anderson", , "sean@seananderson.ca",
            role = c("aut", "cre"),
diff --git a/NEWS.md b/NEWS.md
index 944e98429..026728479 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,8 @@
 # sdmTMB (development version)
 
+* Fix crash in if `sdmTMB(..., do_index = TRUE)` and `extra_time` supplied along
+  with `predict_args = list(newdata = ...)` that lacked `extra_time` elements.
+
 * Allow `get_index()` to work with missing time elements.
 
 * Add the ability to pass a custom randomized quantile function `qres_func`
diff --git a/R/fit.R b/R/fit.R
index 4371769e0..c8ca372d4 100644
--- a/R/fit.R
+++ b/R/fit.R
@@ -1394,10 +1394,10 @@ sdmTMB <- function(
   if (do_index) {
     args <- list(object = out_structure, return_tmb_data = TRUE)
     args <- c(args, predict_args)
-    tmb_data <- do.call(predict.sdmTMB, args)
     if (!"newdata" %in% names(predict_args)) {
       cli_warn("`newdata` must be supplied if `do_index = TRUE`.")
     }
+    tmb_data <- do.call(predict.sdmTMB, args)
     if ("bias_correct" %in% names(index_args)) {
       cli_warn("`bias_correct` must be done later with `get_index(..., bias_correct = TRUE)`.")
       index_args$bias_correct <- NULL
@@ -1408,7 +1408,7 @@ sdmTMB <- function(
       index_args[["area"]] <- 1
     }
     if (length(index_args$area) == 1L) {
-      tmb_data$area_i <- rep(index_args[["area"]], nrow(predict_args[["newdata"]]))
+      tmb_data$area_i <- rep(index_args[["area"]], length(tmb_data$proj_year)) # proj_year includes padded extra_time! otherwise, crash
     } else {
       if (length(index_args$area) != nrow(predict_args[["newdata"]]))
         cli_abort("`area` length does not match `nrow(newdata)`.")
@@ -1417,6 +1417,9 @@ sdmTMB <- function(
     tmb_data$calc_index_totals <- 1L
     tmb_params[["eps_index"]] <- numeric(0) # for bias correction
     out_structure$do_index <- TRUE
+    do_index_time_missing_from_nd <-
+    out_structure$do_index_time_missing_from_nd <-
+      setdiff(data[[time]], predict_args$newdata[[time]])
   } else {
     out_structure$do_index <- FALSE
   }
diff --git a/R/index.R b/R/index.R
index c58758e2f..fa9ce0df6 100644
--- a/R/index.R
+++ b/R/index.R
@@ -235,5 +235,8 @@ get_generic <- function(obj, value_name, bias_correct = FALSE, level = 0.95,
   if (!is.null(obj$fake_nd)) {
     d <- d[!d[[obj$fit_obj$time]] %in% obj$fake_nd[[obj$fit_obj$time]], ,drop = FALSE]
   }
+  if ("do_index_time_missing_from_nd" %in% names(obj$fit_obj)) {
+    d <- d[!d[[obj$fit_obj$time]] %in% obj$fit_obj$do_index_time_missing_from_nd, ,drop = FALSE]
+  }
   d[,c(time_name, 'est', 'lwr', 'upr', 'trans_est', 'se'), drop = FALSE]
 }
diff --git a/R/predict.R b/R/predict.R
index ac73e8165..00a5fc097 100644
--- a/R/predict.R
+++ b/R/predict.R
@@ -539,7 +539,6 @@ predict.sdmTMB <- function(object, newdata = NULL,
       return(tmb_data)
     }
 
-    # TODO: when fields are a RW, visreg call crashes R here...
     new_tmb_obj <- TMB::MakeADFun(
       data = tmb_data,
       parameters = get_pars(object),
diff --git a/tests/testthat/test-extra-time.R b/tests/testthat/test-extra-time.R
index 35d77c01e..a62cbdc91 100644
--- a/tests/testthat/test-extra-time.R
+++ b/tests/testthat/test-extra-time.R
@@ -41,7 +41,7 @@ test_that("extra time, newdata, and offsets work", {
 test_that("extra_time, newdata, get_index() work", {
   m <- sdmTMB(
     density ~ 1,
-    time_varying = ~1,
+    time_varying = ~ 1,
     time_varying_type = "ar1",
     data = pcod,
     family = tweedie(link = "log"),
@@ -88,4 +88,24 @@ test_that("extra_time, newdata, get_index() work", {
   p <- predict(m, newdata = nd, return_tmb_object = TRUE)
   ind5 <- get_index(p)
   expect_equal(ind2[ind2$year %in% nd$year, "est"], ind5[ind5$year %in% nd$year, "est"])
+
+  # with do_index = TRUE
+  nd <- replicate_df(pcod, "year", unique(pcod$year))
+  m2 <- sdmTMB(
+    density ~ 1,
+    time_varying = ~ 1,
+    time_varying_type = "ar1",
+    data = pcod,
+    family = tweedie(link = "log"),
+    time = "year",
+    spatial = "off",
+    spatiotemporal = "off",
+    do_index = TRUE,
+    predict_args = list(newdata = nd),
+    index_args = list(area = 1), # used to cause crash b/c extra_time
+    extra_time = c(2006, 2008, 2010, 2012, 2014, 2016, 2018) # last real year is 2017
+  )
+  ind6 <- get_index(m2)
+  expect_identical(ind6$year, c(2003, 2004, 2005, 2007, 2009, 2011, 2013, 2015, 2017))
+  expect_equal(ind3$est, ind6$est)
 })